Development of a plastic injection molding training system using Petri nets and virtual reality

In this study, Virtual Reality (VR)-based plastic injection molding training system (VPIMTS), which can be modeled as an integrated system with a task planning module, an intelligent instruction module, a simulation module, and virtual envi-ronment (VE) module, was developed. Presented in this paper are an architecture of VPIMTS, a practical knowledge modelling approach for modelling the training scenarios of the system by using Petri nets formalism and key techniques (FEM, injection molding procedure modelling) which have been developed independently. The utilization of the Petri net model realized the environment where the trainee can behave freely, and also made it possible to equip the system with the function of showing the next action of the trainee whenever he wants. The overall system is a powerful approach for highly improving the trainee’s comprehension and injection molding study-efficiency by building digital, intelligent, knowledgeable, and visual aids.

Analysis of International Migrant Workers： Case Study of Worker of Madura Origin

As international migrant workers, they should equip themselves with appropriate knowledge and skills to compete with other overseas workers in the global job market. This means that international migrant workers need to improve their quality and ability. In addition, it also requires a high work and motivation to produce a satisfactory performance. Capabilities like cognitive, affective, and psychomotor abilities are needed to support performance Information related to three abilities also motivation is important from international migrant workers from the island of Madura to be analyzed. Based on the results of qualitative research using interview technique and observation on three informants who had worked abroad as nursing, baby sitter, and housekeeper whose data validity of interview result is measured using triangulation method, it shows different ability in working on his job （though having the same motivation） resulted different performance. Low performance due to lack of ability in cognitive, affective, and psychomotor aspects resulted in workers who could not compete with other workers. The evidence came from the lack of contract extension for low-performing workers. It is therefore recommended for prospective international migrant workers to equip themselves with sufficient capacity through trainings undertaken by government training center （Balai Latihan Kerja/BLK）

Recognition of Chinese Organization Name Using Co-training

Chinese organization name recognition is hard and important in natural language processing. To reduce tagged corpus and use untagged corpus,we presented combing Co-training with support vector machines (SVM) and conditional random fields (CRF) to improve recognition results. Based on principles of uncorrelated and compatible,we constructed different classifiers from different views within SVM or CRF alone and combination of these two models. And we modified a heuristic untagged samples selection algorithm to reduce time complexity. Experimental results show that under the same tagged data,Co-training has 10% F-measure higher than using SVM or CRF alone; under the same F-measure,Co-training saves at most 70% of tagged data to achieve the same performance.

崔胜辉书《三字经》

讲道德,说仁义。作中庸,子思笔。中不偏,庸不易。作大学,乃曾子。自修齐,至平治。孝经通,四书熟。如六经,始可读。诗书易,礼春秋。号六经,当讲求。有连山,有归藏。有周易,三易详。有典谟,有训诰。有誓命,书之奥。我周公,作周礼。著六官,存治体。

李士金中国文化课堂教学改革生态述论——富贵贫贱不可能永远不变这是历史的常识

学术批评引入课堂:以批评袁行霈主编中国文学史为例袁编云:自从孟子精心设计出一套“民为邦本”、“仁政王道”的社会政治蓝图之后,中国历代的知识分子一直为之奋斗不息,也为广大的百姓向往不已。上文把“民为邦本”、“仁政王道”作为孟子精心设计的社会政治蓝图不妥。“民惟邦本”出自《尚书·五子之歌》,原文云:“皇祖有训,民可近不可下,民惟邦本,本固邦宁。”

Finite Convergence of On-line BP Neural Networks with Linearly Separable Training Patterns

In this paper we prove a finite convergence of online BP algorithms for nonlinear feedforward neural networks when the training patterns are linearly separable.